Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/26916
Title: Genomic prediction for parasite resistance in sheep using whole-genome sequence data
Contributor(s): Al kalaldeh, M  (author); Duijvesteijn, N  (author); Moghaddar, N  (author)orcid ; Gibson, J  (author); van der Werf, J H J  (author)orcid 
Publication Date: 2018
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/26916
Open Access Link: http://www.wcgalp.org/proceedings/2018/genomic-prediction-parasite-resistance-sheep-using-whole-genome-sequence-data
Abstract: Genomic prediction for parasite resistance in sheep using whole-genome sequence data The objective of the study is to compare QTL mapping precision and the accuracy of genomic prediction for parasite resistance in sheep using pre-selected variants identified from the high-density SNP panel (600k) and the imputed whole-genome sequence (WGS) data and to evaluate the prediction accuracy when using selected SNPs. The results of this paper show that the use of WGS variants located within or close to QTL regions can improve the prediction accuracy of parasite resistance compared to using variants selected from the high-density SNP panel.
Publication Type: Conference Publication
Conference Name: 11th World Congress on Genetics Applied to Livestock Production
Conference Details: World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand, 10-16 February 2018
Source of Publication: Proceedings of the World Congress on Genetics Applied to Livestock Production, v.11, p. 1-9
Field of Research (FOR): 070201 Animal Breeding
Socio-Economic Outcome Codes: 830310 Sheep - Meat
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://www.wcgalp.org/proceedings/2018
Appears in Collections:Conference Publication
School of Environmental and Rural Science

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